MINLP Workshop 2014
June 2-5, 2014
Carnegie Mellon University, Pittsburgh, PA
Mixed-integer nonlinear programming is a powerful modeling paradigm that
has been employed by engineers, economists, and operations researchers
to model a wealth of decision-making applications involving discrete
decisions and nonlinearities. Continuing a series of related workshops,
the 2014 MINLP workshop is organized by Ignacio Grossmann and Nick
Sahinidis at Carnegie Mellon University. Participants of MINLP 2014 are
expected to discuss challenges and opportunities in the field of
mixed-integer nonlinear optimization, as well as to review progress made
on algorithmic, computational, and applications aspects.
Confirmed plenary speakers include: Sanjay Mehrotra (Northwestern),
Robert Weismantel (ETH), and Tapio Westerlund (Abo Akademi).
A stream of invited talks will cover the topics of convexification,
decomposition, synergies between mathematical optimization and the areas
of constraint programming, machine learning, and modeling languages.
Computational implementations and a variety of applications will also be
addressed. In addition to invited talks, we are planning contributed
papers. Most contributed papers will be presented in a poster session,
although opportunities for oral presentation may arise. If you are
interested in contributing a paper, please submit a title and abstract
by March 14 to [log in to unmask] For more details, see
We are looking forward to seeing you in Pittsburgh in June.
Nick Sahinidis and Ignacio Grossmann